Home Artificial Intelligence The Blender Handbook for 3D Point Cloud Visualization and Rendering Data Visualization for Analytics

The Blender Handbook for 3D Point Cloud Visualization and Rendering Data Visualization for Analytics

0
The Blender Handbook for 3D Point Cloud Visualization and Rendering
Data Visualization for Analytics

Blender

Complete guide to create 3D experiences with large point clouds in Blender

Towards Data Science

On this tutorial, I need to fill a big web gap: methods to leverage the most effective 3D tools for manipulating and visualizing massive point cloud datasets.

3D Point Cloud Visualization in Blender, by Florent Poux
3D Point Cloud Visualization of an old factory inside Blender. © F. Poux

This tool is known as Blender. It allows us to handle complex analytical scenarios by experimenting with different data visualization techniques. And that is precisely what brings us here together.

What’s the most effective foundational workflow to tie down Reality Capture datasets (in the shape of point clouds) with Blender’s prolonged Data Visualization capabilities?

🦊Florent: Reality Capture is somewhat a “latest” term that could be pretty confusing, knowing some software and corporations got their name from it. You possibly can see this “discipline” as a specialized branch of “3D Mapping”, where the goal is to capture 3D Geometries from the true world with various sensors resembling LiDAR or Passive Cameras (through Photogrammetry and 3D Computer Vision). You possibly can see how we do this in this text: Guide to 3D Reconstruction with Photogrammetry

On this guide, I break down the method into nine clear steps, as illustrated below.

3D Point Cloud to Blender Tutorial Workflow
The workflow of the tutorial, in nine distinctive steps. © F. Poux

It will allow us to generate several Route Extraction Visualization Products, resembling this one:

LEAVE A REPLY

Please enter your comment!
Please enter your name here